In this paper we lay the foundations for attitude control and simultaneous mode estimation of highly flexible spacecraft. Adaptive control (AC) combined with integral concurrent learning (ICL) enable quantifiable finite time excitation of the system while it is being controlled, thus providing convergence of unknown or uncertain parameters to their true values. Rigorous Lyapunov proofs are provided, guaranteeing stability of the controlled system and convergence of the unknown parameters. The focus is controlling the spacecraft attitude and using the behavior of key locations of ‘ most flexible components (i.e., the extremities), setting the natural frequencies and damping ratios as the uncertain parameters to estimate. The preliminary results here presented are encouraging and we envision this technique to be transformative in the way we control flexible space structures with uncertain structural characteristics. This work is motivated by the Air Force Space Solar Power Incremental Demonstrations and Research (SSPIDR) project, and more generally, future spacecraft with deployable and large flexible appendages.


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    Title :

    SIMULTANEOUS ATTITUDE CONTROL AND MODES ESTIMATION FOR FLEXIBLE SPACECRAFT USING ADAPTIVE CONTROL AND INTEGRAL CONCURRENT LEARNING


    Contributors:


    Publication date :

    2024-01-01


    Size :

    14 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English